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Record W2613226747

New data on the soft tissues and external morphology of the antiarch Bothriolepis canadensis (Whiteaves 1880), from the Upper Devonian of Miguasha, Quebec.

2004· preprint· en· W2613226747 on OpenAlexaboutno aff
Marius Arsenault, Sylvain Desbiens, P. Janvier, Johanne Kerr

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2004
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Evolutionary Biology
Canadian institutionsnot available
Fundersnot available
KeywordsDevonianMorphology (biology)GeologyPaleontologyGeography
DOInot available

Abstract

fetched live from OpenAlex

The euantiarch Bothriolepis canadensis from the Late Devonian of Miguasha is revisited on the basis of some new material which yields additional information about its internal anatomy and overall external morphology. New evidence for soft tissue preservation in this species is provided by the discovery of blood vessel imprints beneath the plates of the thoracic armour in several specimens. The pattern of some of these blood vessel imprints, in the anterior part of thoracic armour raises the question of their possible relations to the presumed paired pharyngeal diverticles, or “lungs”, previously described in this species. The nature of the more or less metameric grooves on the internal surface of the dorsal plates of the thoracic armour is discussed, and it is suggested that they may have housed lymphatic vessels. A new reconstruction of the armour of B. canadensis is proposed, on the basis of two specimens which have not been subjected to dorsoventral flattening. The overall morphology of B. canadensis appears thus to be in better agreement with Patten’s than with Stensio’s reconstruction; i.e., with a rather deep thoracic armour and more tilted skull roof.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.405

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.224
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2004
Admission routes1
Has abstractyes

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